1

Bioinformatics Research Jobs in California (NOW HIRING)

You'll collaborate closely with scientists, engineers, and researchers, contributing your technical expertise to streamline processes, maintain automation, and drive our bioinformatics capabilities ...

... bioinformatics and research scientists and engineers for various projects as appropriate Preferred : • Machine learning experience and mathematical understanding of optimization algorithms ...

Contribute to strategic planning and research initiatives across the organization's portfolio ... Evaluate emerging bioinformatics methodologies, tools, and technologies to enhance analytical ...

Contribute to strategic planning and research initiatives across the organization's portfolio ... Evaluate emerging bioinformatics methodologies, tools, and technologies to enhance analytical ...

Showing results 21-40

Bioinformatics Research information

See California salary details

$58.7K

$93.2K

$147.5K

How much do bioinformatics research jobs pay per year?

As of Sep 3, 2026, the average yearly pay for bioinformatics research in California is $93,237.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,600.00 and $127,800.00 per year, depending on experience, location, and employer.

What is bioinformatics research?

Bioinformatics research is a multidisciplinary field that combines biology, computer science, mathematics, and statistics to analyze and interpret biological data. Researchers in this area develop and use computational tools and techniques to understand complex biological processes, such as gene sequencing, protein structure prediction, and genome analysis. The goal is to extract meaningful insights from large datasets, which can lead to advances in medicine, agriculture, and environmental science. Bioinformatics research plays a crucial role in understanding diseases, developing new treatments, and personalizing healthcare.

What are the key skills and qualifications needed to thrive as a bioinformatics researcher?

To thrive as a Bioinformatics Researcher, you need a strong background in computational biology, statistics, and molecular biology, often supported by an advanced degree in bioinformatics or a related field. Proficiency with programming languages (such as Python, R), bioinformatics tools (like BLAST, genome assembly software), and data analysis platforms is crucial. Strong analytical thinking, problem-solving, and effective communication skills help you collaborate across interdisciplinary teams and interpret complex data. These skills and qualities are essential for generating meaningful biological insights from large datasets and advancing scientific research.

What are the most common collaborative projects for professionals in bioinformatics research?

Bioinformatics researchers frequently collaborate on interdisciplinary projects that involve both computational scientists and experimental biologists. Common collaborations include analyzing genomic data for disease research, developing algorithms for large-scale data interpretation, and creating bioinformatics tools for laboratory use. These projects often require regular communication with wet-lab researchers to ensure that computational findings align with experimental needs, as well as working closely with statisticians and software developers. Effective teamwork and the ability to bridge the gap between biology and data science are crucial for success in this field.

How to become a bioinformatics researcher?

To become a bioinformatics researcher, typically a candidate needs a bachelor's degree in bioinformatics, biology, computer science, or a related field, followed by a master's or Ph.D. for advanced roles. Developing skills in programming languages like Python or R, understanding biological data, and gaining experience with tools such as genomic databases are essential. Relevant internships, research projects, and knowledge of statistical analysis can also enhance prospects in this field.

What does a bioinformatics researcher do?

A bioinformatics researcher analyzes biological data using computational tools and algorithms to understand genetic, genomic, and molecular information. They often work with large datasets, develop software or pipelines, and collaborate with biologists to interpret results, typically requiring skills in programming, statistics, and biology. Their work supports advancements in personalized medicine, genomics, and disease research.

What are the most commonly searched types of Bioinformatics Research jobs in California?

The most popular types of Bioinformatics Research jobs in California are:

What are popular job titles related to Bioinformatics Research jobs in California?

For Bioinformatics Research jobs in California, the most frequently searched job titles are:

What job categories do people searching Bioinformatics Research jobs in California look for?

The top searched job categories for Bioinformatics Research jobs in California are:

What cities in California are hiring for Bioinformatics Research jobs?

Cities in California with the most Bioinformatics Research job openings:

Infographic showing various Bioinformatics Research job openings in California as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 82% Full Time, 13% Part Time, 1% Temporary, and 2% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution, with an average salary of $93,237 per year, or $44.8 per hour.

Bioinformatics Engineer

AccuScan Sciences

San Jose, CA • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 27 days ago


Job description

As a Bioinformatics Engineer at AccuScan Sciences, you will develop, optimize, and maintain bioinformatics pipelines utilizing AWS infrastructure and Nextflow workflow management systems. Your contributions will directly impact innovative scientific discoveries and product development. You'll collaborate closely with scientists, engineers, and researchers, contributing your technical expertise to streamline processes, maintain automation, and drive our bioinformatics capabilities forward.

Responsibilities:

  • Design, implement, and develop tests and documentation for established robust bioinformatics pipelines.
  • Optimize computational workflows for high-performance execution and reproducible data analysis.
  • Maintain, monitor, and improve pipeline automation to ensure smooth operational workflows.
  • Manage GitHub repositories, oversee version control, and streamline the software release process.
  • Develop and manage infrastructure on AWS to ensure scalability, reliability, and efficiency.
  • Collaborate with cross-functional teams to integrate bioinformatics solutions.
  • Proactively identify opportunities to enhance infrastructure efficiency and security.

Requirements

Qualifications:

    • Bachelor’s degree or higher in Bioinformatics, Computational Biology, Computer Science, or a related field. with at least 3+ years of working experience out of college.
    • Experience with bioinformatics workflow development and optimization, particularly using Nextflow.
    • Experience developing software following best practices, including comprehensive testing and clear documentation.
    • Proficiency in scripting languages (Python, Bash) and familiarity with container technologies (Docker, Kubernetes).
    • Hands-on experience with AWS cloud computing services (EC2, S3, Batch, Lambda).
    • Excellent communication and collaborative skills.

Preferred Qualifications:

  •  Familiarity with CI/CD practices.
  • Experience with infrastructure-as-code (Terraform, CloudFormation).

Benefits

  • Health Care Plan (Medical, Dental & Vision)
  • Retirement Plan (401k, IRA)
  • Paid Time Off (Vacation, Sick & Public Holidays)